LongEval-Retrieval and Building a Web-Scale Privacy-Preserving Search Engine

Watch two insightful talks from leading experts in search engine technology and information retrieval. Learn about the LongEval-Retrieval project, a dynamic test collection for continuous web search evaluation in French-English environments, presented by researcher Petra Galuščáková from Université Grenoble Alpes. Discover how test data timing affects model performance and explore solutions for maintaining search engine effectiveness as queries and document collections evolve. Then, gain practical insights from Romain Deveaud, Senior Tech Lead at Qwant, who shares experiences in building a privacy-focused web search engine with limited resources, highlighting the valuable intersection between academic research and industry implementation. Understand how smaller organizations can leverage existing information retrieval research to develop competitive search solutions and learn about the collaborative efforts behind the CLEF 2023 LongEval Lab.